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Dynamic characteristic of partially debonded sandwich of ferry ro-ro’s car deck: a numerical modeling

  • Tuswan EMAIL logo , Achmad Zubaydi , Bambang Piscesa and Abdi Ismail
Published/Copyright: June 3, 2020
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Abstract

The dynamic behavior of a partially debonded Ferry Ro-Ro’s sandwich car deck is investigated by using commercial finite element software ABAQUS. Debonding in the car deck model is estimated by comparing the dynamic responses of the fully intact and damaged model of the bonding condition. The influence of the debonding ratio is investigated by free vibration analysis using Lanczos iteration method. The dynamic response of the car deck model is loaded with harmonic excitation and is examined in detail. The transverse displacements, velocities, accelerations, longitudinal strains, and phase portraits are investigated in the central point of the damaged area. To evaluate the effect of inserting the spring contact element during the dynamic analysis, both debonded models with and without spring contact elements are examined. From the report, it can be concluded that the dynamic analysis which relies on the modal analysis can be used to diagnose the possibility of debonding problem in the car deck structure. The natural frequencies of the debonded model decrease due to the presence of discontinuity in the debonded region. Further, the discontinuity also creates locally concentrated deformation and significantly affects the short-term time response.

1 Introduction

For the purpose of improving competitiveness with other transportation modes, the application of lightweight material for ship structures, i.e., a hybrid sandwich, is essential. The hybrid sandwich material has been widely used in shipbuilding industries. It offers high bending stiffness to weight ratio and high damping properties compared to the conventional stiffened plate structure [1]. Due to the complexity of the design and manufacture process, it has been shown that hybrid sandwich materials are more prone to damage or defect. The significant distinctions between thickness and elastic moduli of the constitutive layers make them susceptible to interfacial crack or the loss of cohesion between the basic layers, which acknowledged as a skin-to-core debonding failure. Its partial damage maydegrade the load-carrying capacity of the ship and significantly alters its dynamic characteristics [2, 3, 4].

At the early stage, these invisible local debonding can affect the behavior of the hybrid sandwich material. Therefore, a reliable assessment technique such as dynamic analysis of such ship structure is necessary to prevent the failures of the structure. The damage state associated with the presence of the debonding can be diagnosed by specific non-destructive damage detection method, i.e., numerical dynamic analysis [5]. This numerical dynamic analysis is usually associated with the use of finite element analysis and has been widely used to assess vibration in many structures [6, 7]. The results of the dynamic finite element analysis can be used to strengthen the damage detection efficiency in the structural health monitoring system.

One of the difficulties in dealing with the dynamic response of debonded sandwich plates is to model their physical phenomena either within the framework of initial imperfection or material nonlinearities. Most research that investigated this problem used both linear and nonlinear approaches. One of the most recent approaches was based on the split-beam theory, where the decoupled layers were assumed to be able to penetrate each other or be constrained to move together [8, 9, 10]. To prevent overlapping between layers, the decoupled layers are linked by additional linear virtual spring elements and contact behavior between nodal surface are used [11, 12, 13]. This modeling condition would lead to strong nonlinear problem. Hence, a general dynamic analysis is often used to address this nonlinear contact behavior [13, 14, 15, 16].

In [17, 18], piecewise linear spring elements are used to link the debonded region. Similar approaches were also used by [11] to investigate the free vibration behavior due to size, location, shape, and number of debonded regions, and variation of boundary conditions. In [19], the dynamic response of a debonded beam under a harmonic excitation was analyzed using a linear spring model. The modeled structures highlighted here were a composite sandwich with the shape of beams and plates.

In this paper, a linear dynamic finite element analysis will be carried out to investigate the effect of local damage (debonding problem) on the modal parameters of the car deck model which installed a sandwich plate system (SPS). SPS used in this analysis consists of steel faceplate and resin/clamshell core which have significant distinctions between thickness and elastic moduli between them. The free vibration, the steady-state analysis, and the modal dynamics are investigated to compare the healthy model and damaged model by using the ABAQUS finite element package [20]. To model the debonded problem, the models with a piecewise linear spring contact and without contact between debonded surfaces are compared. The car deck model is modeled with a damage ratio of 5% and 10%. The effect of the debonded area is studied by comparing the dynamic properties of the structure: the natural frequencies, mode shapes, and time-domain data. In addition, the dynamic properties between the conventionally stiffened and sandwich car deck model will also be briefly discussed to analyze the effect of installing a sandwich panel and modifying the stiffener configuration of car deck models. The free vibration, the steady-state analysis, and the modal dynamics are investigated. The total of four different configuration models of the ship’s car deck panel which installed SPS with various stiffener configurations is studied.

2 Finite element modeling

2.1 3D finite element modeling and treatment of the bonding and debonding problems

The finite element analysis (FEA) plays an important role in the dynamic analysis, which can be used to evaluate the expected experimental data. For the case of experimental investigation, the dynamic response of the car deck panel can be excited by an external impact or embedded actuators. The data can be collected from the installed strain gauges and accelerometer. This setting enables the possibility to evaluate the structural behavior in real-time, and the structural health monitoring system of the structures can be established. However, to gain a better understanding of the dynamic behavior of the complex structure, numerical simulation should be carried out. In this research, the commercial finite element package ABAQUS is used. The procedure for FE simulation [21] can be divided into three steps: (1) preprocessing which involves modeling the geometry of the structures, meshing and assembling of the mass and stiffness matrices; (2) FE analysis to get the natural frequency, the frequency response function and time-dependent data; and (3) post-processing to evaluate the desired output.

In the sandwich finite element model discretization of the car deck, the sandwich panel can be modeled using the layer-wise solid/shell element [22]. The use of shell elements can reduce the number of degree-of-freedoms (DOF). However, the stress in the thickness direction can be better modeled using solid elements. For that purpose, the outer layer (steel) is modeled using the eight-node quadrilateral shell element (SC8R) with reduced integration. The core layer is modeled using the eight-node hexahedral element (3D8I) with incompatible modes, as presented in Figure 1a.

Figure 1 (a) Mesh detail in the debonded region (b) the behavior of spring element
Figure 1

(a) Mesh detail in the debonded region (b) the behavior of spring element

Here, to model the debonding problem, a simplified modeling technique is used [11]. Several assumptions are adopted to describe the debonding issue: debonding is modeled as an artificial flaw embedded into interface zone between the faceplates and the core, the piecewise spring model in the debonded region is applied, debonding is assumed to be predetermined before the oscillations and to be constant during oscillations, and the shape of the debonded region is idealized with regular form (a regular circle plated).

The debonding is treated as an artificial imperfection at the interface layer between the two consecutive layers. This artificial imperfection is activated before the vibrations analysis is carried out. During the pre-processor, the debonded area is modeled by creating a small gap (10% of the steel plate thickness) between the core and the outer face of the sandwich structures. To prevent the possibility of the two surfaces overlapping each other, a piecewise spring element is used at the debonded surface area. In ABAQUS, 3D spring elements (SPRING2 available in ABAQUS) are used to connect the core and the outer face nodes in the debonded regions, as depicted in Figure 1a.

Two different contact options “with contact” and “without contact” spring elements were developed. To model spring element behavior, the spring stiffness is set to zero (k=0 N/m) when in tension and is set to a high value (k= 210×109 N/m) when the force in compression and the relative displacement of the two nodes (Δu) in the spring is zero. In fact, there is no literature which states the spring stiffness value of interface layer of proposed sandwich type. So, in this research, the spring element behavior is assumed to have similar spring stiffness as stated in [5]. In [5], In “with contact” model, the contact behavior is assumed by the free debonding model with setting a zero stiffness (k=0 N/m) to the spring elements so the interfaces can move freely, while a nonzero stiffness value (k=210×109 N/m) causes the constrained debonding model between them that restrains the faceplate and the core from moving together [8, 9, 23]. In the model, both the geometry and material behavior are set to constant during oscillations. The contact friction is set zero because the influence of the friction properties on the dynamic responses is insignificant [24]. For the fully bonded region, the multi-point constraint (MPC) contact is used.

2.2 Reference model

The model used as a reference is a Ferry Ro-Ro with the total car deck area 381.8 m2. The car deck panel comprises of two components: the stiffened plate and beam systems. The reference car deck is located parallel to the mid-body of the ship between the two bulkheads. Based on the previous sandwich application in the same model [25], the calculation of thickness configuration based on DNV-GL strength index criteria [26] results 4 mmthin faceplate and 20 mm thick core.

Three modified models of the car deck system, as illustrated in Table 1, had been investigated. In Table 1, the effect of adding a sandwich panel and varying the stiffener configuration of the car deck resulted in lower weight, which ranges from 2% to 12%. In this study, the fully clamped car deck panel on all sides will be investigated. The dimension of the car deck model and the beam system are presented in Figure 2. The mechanical properties of the typical car deck model are presented in Table 2.

Figure 2 Reference existing model of existing stiffened car deck
Figure 2

Reference existing model of existing stiffened car deck

Table 1

Model configurations of the car deck

ModelsPlate Thickness (mm)Total of StiffenersTotal Weight (tonnes)
Strong BeamDeck BeamDeck Girder
Existing Model12371210.54
Car Deck A4-20-4371210.36
Car Deck B4-20-437-9.61
Car Deck C4-20-425-9.24
Table 2

Mechanical constants

Materialsρ (kg/m3)G (MPa)E (MPa)ν
Steel78507.93×1042.06×1050.30
Core (resin/clamshell)14651.27×1023.31×1020.30

2.3 Numerical Dynamic analysis

The modal dynamic analysis is used to assess the behavior of both perfect and imperfect (with debonding defect) models of the car deck panel. It is expected that the debonding ratios can be used as the sensitivity indicator of the internal damage occurrence (discontinuities). For that purpose, the varying value of the debonding ratio is used. The planar size of prescribed debonding is defined by a damage parameter (D%) denoting the ratio of the debonded region (Ad) to the entire region of the sandwich plate (Atotal) as explained in Eq. 1. The FE model of the perfectly clamped car deck panel containing a circular debonded region at the center is examined.

(1)D=AdAtotal100%

For an initial analysis, the free vibration analyses are executed. Several studies explain that when the debonding between the faceplates and the core of the sandwich increases, the shear stress transfer area between the face-plates and the core will decrease. The decrease in the transfer area causes a decrease in the stiffness and strength of the sandwich. The analyses are executed using a linear perturbation load step within ABAQUS to analyze the first five natural frequencies and mode shapes of the model, where the Lanczos iteration method for eigenvalues extraction is used [20]. The frequency extraction procedure is to perform eigenvalue extraction and to calculate the natural frequencies and the corresponding mode shapes of a system.

Further, steady-state linear dynamic analysis is used to evaluate the linear response of a structure subjected to continuous harmonic excitation. Direct steady-state linear dynamic analysis procedure, in which the equations of steady harmonic motion of the system are solved directly without using the eigenmodes is used in this case. The frequency range between 1 and 35 Hz with the number of points 100 and bias 1 is used.

The modal dynamic procedure provides a time history analysis of linear systems. The excitation is given as a function of time: it is assumed that the amplitude curve is specified so that the magnitude of the excitation varies linearly within each increment. Since the load is time-dependent, the final response for each time is computed using the modal superposition method. The modal amplitudes are then integrated with respect to time, and the response is further calculated using these modal responses. For the model with harmonic excitation, the modal parameter can be obtained by applying the modal analysis, which much less expensive than using a direct integration method as in nonlinear dynamic analysis. In this analysis, the models are assumed to be excited at lower skin by an external periodic excitation with a constant frequency near the first mode. Finally, debonding existence can be diagnosed by comparing either the modal characteristics or time responses of healthy and damaged models.

3 Numerical result of dynamic analyses

3.1 Mesh convergence analysis

Mesh convergence is an important issue to obtain accurate results with reasonable computational time. The use of coarse mesh can yield less stiff response of structures and higher natural frequencies. Therefore, several mesh sizes are used to get the optimum mesh-sizes. The mesh convergence analysis is carried out by investigating free vibration analysis to obtain the natural frequency of the first bending modes with ABAQUS. An existing car deck model, as depicted in Figure 1 with a fully clamped boundary condition in all sides deck, is used. The material properties used in this analysis are shown in Table 2.

The mesh convergence in the healthy car deck model and car deck model with debonding is also analyzed. The mesh sizes in the model are set from fine mesh at the debonded region and gradually becomes coarser away from the debonded area to reduce the computational time. For an example of mesh convergence result, it is depicted in Figure 3 that the solution converges for mesh sizes between 0.05 m and 0.02 m. For the existing car deck model, the mesh element size 0.05m with the number of elements and nodes is 51,000 and 56,000, respectively is used. Good agreement demonstrating successful modeling of eigenvibration problem can be noticed. Therefore, it validates the correctness of the model used in this analysis.

Figure 3 Mesh convergence in first bending mode
Figure 3

Mesh convergence in first bending mode

3.2 Dynamic response comparison of the car deck panel models

This section discusses the dynamic response comparison of the car deck panel model between the conventionally stiffened and three modified (installed with the proposed sandwich panel) car deck panel models. All the geometric and material properties’ input is similar to the models used in the mesh convergence analysis. Table 3 shows the first five-mode shapes of the free vibration natural frequencies. As shown in Table 3, car decks A and B exhibit higher natural frequencies compared to car deck C and existing models. The use of sandwich material can reduce the weight of the panel [25] and higher stiffness compared to the existing model.

Table 3

Natural frequencies as functions of mode shapes of the car deck models

Natural frequency (Hz)
ModeExistingCar DeckCar DeckCar Deck
ModelABC
112.5513.2313.4912.11
218.0819.2018.9318.07
328.5230.1228.3726.17
429.9830.8930.6827.21
32.2733.6232.5628.74

To gain more insight into the dynamic behavior of the car deck panel, modal dynamic analysis is used. A concentrated transverse harmonic loading at the central point of the lower face is applied with the magnitude and frequency of 49 kN and 12.5 Hz, respectively. The first mode frequency of the model is close to 12.5 Hz. Figure 4 shows the output time history responses of the car deck panel. From Figure 4, it can be analyzed that the amplitude for each signal significantly differs between the existing and modified models. Car deck A and B have a lower signal amplitude compared to the existing model. On the other hand, car deck C has the highest signal amplitude. From the phase portrait data, the car deck A and B responses at the central point of the lower faceplate show trajectories that are smaller than the full intact model. Hence, the car deck A and B can be said to have more stiffness that the existing model. On the other hand, car deck C is less stiff than the existing model.

Figure 4 (a) FRF, time history responses: (b) acceleration, (c) strain, (d) displacement, (e) velocity, (f) phase portrait
Figure 4

(a) FRF, time history responses: (b) acceleration, (c) strain, (d) displacement, (e) velocity, (f) phase portrait

3.3 Effect of the debonding ratio

This section investigates the effect of the debonding ratio of car deck B. The car deck model is modeled with a damage ratio of 5% and 10%. The damage ratio is computed by taking the ratio of the debonding area to the total surface area of the sandwich plate. The free vibration analysis model is used. Both with and without contact conditions are evaluated. To prevent overlap between layers, spring elements with contact behavior as previously described are used.

Figure 5 shows that the free vibration response is affected by the presence of the imperfection (debonding defect) and significantly alter the natural frequencies in higher modes. In the lowest mode, the natural frequencies also affected by imperfection but not as sensitive as higher modes. One of the interesting findings is that the natural frequency of the model with 10% debonded area is slightly higher compared to the full intact model. This phenomenon is called the local thickening phenomenon [27, 28] which causes the cross-over phenomenon.

Figure 5 Numerical eigenfrequencies as a function of mode shape of models
Figure 5

Numerical eigenfrequencies as a function of mode shape of models

In Figure 5, the model with the contact was neglected shows lower natural frequencies which may not be the correct solution. In [21], this problem has been analyzed and further in [29], the natural frequencies and mode shapes are found to be almost insensitive. Hence, it can be concluded that the debonding effect can affect natural frequencies and is mode dependent. Moreover, the presence of debonding defect has a significant effect on the natural frequencies.

Figure 6 shows the modes shape deformation of the panels. The mode shapes of the debonded model show that the distortion of the mode shapes does occur locally in the damaged region. To further study the effect of debonding defect at the surface between the layers, time-history analysis of the car deck B with concentrated periodic load at the central point of the lower faceplate is investigated. The output time responses being recoded are the transverse displacement, velocities, accelerations, and longitudinal strains.

Figure 6 The first and second vibration modes: (a) initial model, (b) 10% debonding with contact (c) 10% debonding without contact
Figure 6

The first and second vibration modes: (a) initial model, (b) 10% debonding with contact (c) 10% debonding without contact

Figure 7 shows the time history responses between the fully intact and damaged models. Similar findings as in the free vibration analysis where the amplitude response for all models does vary significantly. The phase portrait motion depicted in Figure 7 shows that the damaged models do have a larger space trajectory than the full intact model. The larger the defect area, the space trajectory be

Figure 7 Time history outputs: (a) acceleration, (b) strain, (c) displacement, (d) velocity, (e) phase portrait
Figure 7

Time history outputs: (a) acceleration, (b) strain, (c) displacement, (d) velocity, (e) phase portrait

comes wider, and the origin of the space trajectory shifted. For 5% debonding ratio, the origin of the space trajectory does look to coincide with the fully intact model. Hence, it would be interesting to find out the corresponding debonding ratio value at the onset of the shifting of the origin in the space trajectory. These larger space trajectories do represent the decrease in the panel stiffness due to debonding defect and all the responses amplitude of the model with defect show larger values than the intact model. In addition, it was found that the strain responses are one of the most sensitive responses among all responses recorded.

4 Conclusion

The paper had discussed the effect of installing a sandwich panel in the car deck on the dynamic response. A total of four configuration models had been developed. Finite element software ABAQUS was used in this analysis. It could be concluded that the application of sandwich material in Ferry Ro-Ro’s car deck increased the stiffness of the structure. It could be recognized that car deck A and B are stiffer than the existing model. Meanwhile, car deck C was less stiff than the existing one.

Furthermore, the effect of the debonding ratio on a linear dynamic was investigated. Two different contact options were studied. In the “with contact” model, the result had been shown that the debonding defect reduced the natural frequencies and altered the deformation shapes of modes studied. It showed that higher natural frequencies were found to be more sensitive to the presence of debonding defects. The “without contact” model showed lower natural frequencies than the “with contact” model which was justified as the incorrect contact modeling. In the time response, the presence of the debonding defect was found to alter the short-term time response. The bigger the debonding ratio, the higher the amplitude of the response. From the investigation, the strain response was one of the most sensitive damage parameters. In the future, the nonlinear debonding modeling combined with the experimental investigation will be carried out to verify further the correctness of the dynamic response to detect the debonding problem in the ship structure.

Acknowledgement

This research is funded by Directorate of Research and Community Services, Ministry of Research, Technology and Higher Education, The Republic of Indonesia under The Master’s Degree Program Leading to Doctoral Degree for Excellent Bachelor Graduates (PMDSU) research scheme.

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Received: 2020-01-06
Accepted: 2020-03-12
Published Online: 2020-06-03

© 2020 Tuswan et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  37. Use of mathematical models and computer software for analysis of traffic noise
  38. New developments on EDR (Event Data Recorder) for automated vehicles
  39. General Application of Multiple Criteria Decision Making Methods for Finding the Optimal Solution in City Logistics
  40. The influence of the cargo weight and its position on the braking characteristics of light commercial vehicles
  41. Modeling the Delivery Routes Carried out by Automated Guided Vehicles when Using the Specific Mathematical Optimization Method
  42. Modelling of the system “driver - automation - autonomous vehicle - road”
  43. Limitations of the effectiveness of Weigh in Motion systems
  44. Long-term urban traffic monitoring based on wireless multi-sensor network
  45. The issue of addressing the lack of parking spaces for road freight transport in cities - a case study
  46. Simulation of the Use of the Material Handling Equipment in the Operation Process
  47. The use of simulation modelling for determining the capacity of railway lines in the Czech conditions
  48. Proposals for Using the NFC Technology in Regional Passenger Transport in the Slovak Republic
  49. Optimisation of Transport Capacity of a Railway Siding Through Construction-Reconstruction Measures
  50. Proposal of Methodology to Calculate Necessary Number of Autonomous Trucks for Trolleys and Efficiency Evaluation
  51. Special Issue: Automation in Finland
  52. 5G Based Machine Remote Operation Development Utilizing Digital Twin
  53. On-line moisture content estimation of saw dust via machine vision
  54. Data analysis of a paste thickener
  55. Programming and control for skill-based robots
  56. Using Digital Twin Technology in Engineering Education – Course Concept to Explore Benefits and Barriers
  57. Intelligent methods for root cause analysis behind the center line deviation of the steel strip
  58. Engaging Building Automation Data Visualisation Using Building Information Modelling and Progressive Web Application
  59. Real-time measurement system for determining metal concentrations in water-intensive processes
  60. A tool for finding inclusion clusters in steel SEM specimens
  61. An overview of current safety requirements for autonomous machines – review of standards
  62. Expertise and Uncertainty Processing with Nonlinear Scaling and Fuzzy Systems for Automation
  63. Towards online adaptation of digital twins
  64. Special Issue: ICE-SEAM 2019
  65. Fatigue Strength Analysis of S34MnV Steel by Accelerated Staircase Test
  66. The Effect of Discharge Current and Pulse-On Time on Biocompatible Zr-based BMG Sinking-EDM
  67. Dynamic characteristic of partially debonded sandwich of ferry ro-ro’s car deck: a numerical modeling
  68. Vibration-based damage identification for ship sandwich plate using finite element method
  69. Investigation of post-weld heat treatment (T6) and welding orientation on the strength of TIG-welded AL6061
  70. The effect of nozzle hole diameter of 3D printing on porosity and tensile strength parts using polylactic acid material
  71. Investigation of Meshing Strategy on Mechanical Behaviour of Hip Stem Implant Design Using FEA
  72. The effect of multi-stage modification on the performance of Savonius water turbines under the horizontal axis condition
  73. Special Issue: Recent Advances in Civil Engineering
  74. The effects of various parameters on the strengths of adhesives layer in a lightweight floor system
  75. Analysis of reliability of compressed masonry structures
  76. Estimation of Sport Facilities by Means of Technical-Economic Indicator
  77. Integral bridge and culvert design, Designer’s experience
  78. A FEM analysis of the settlement of a tall building situated on loess subsoil
  79. Behaviour of steel sheeting connections with self-drilling screws under variable loading
  80. Resistance of plug & play N type RHS truss connections
  81. Comparison of strength and stiffness parameters of purlins with different cross-sections of profiles
  82. Bearing capacity of floating geosynthetic encased columns (GEC) determined on the basis of CPTU penetration tests
  83. The effect of the stress distribution of anchorage and stress in the textured layer on the durability of new anchorages
  84. Analysis of tender procedure phases parameters for railroad construction works
  85. Special Issue: Terotechnology 2019
  86. The Use of Statistical Functions for the Selection of Laser Texturing Parameters
  87. Properties of Laser Additive Deposited Metallic Powder of Inconel 625
  88. Numerical Simulation of Laser Welding Dissimilar Low Carbon and Austenitic Steel Joint
  89. Assessment of Mechanical and Tribological Properties of Diamond-Like Carbon Coatings on the Ti13Nb13Zr Alloy
  90. Characteristics of selected measures of stress triaxiality near the crack tip for 145Cr6 steel - 3D issues for stationary cracks
  91. Assessment of technical risk in maintenance and improvement of a manufacturing process
  92. Experimental studies on the possibility of using a pulsed laser for spot welding of thin metallic foils
  93. Angular position control system of pneumatic artificial muscles
  94. The properties of lubricated friction pairs with diamond-like carbon coatings
  95. Effect of laser beam trajectory on pocket geometry in laser micromachining
  96. Special Issue: Annual Engineering and Vocational Education Conference
  97. The Employability Skills Needed To Face the Demands of Work in the Future: Systematic Literature Reviews
  98. Enhancing Higher-Order Thinking Skills in Vocational Education through Scaffolding-Problem Based Learning
  99. Technology-Integrated Project-Based Learning for Pre-Service Teacher Education: A Systematic Literature Review
  100. A Study on Water Absorption and Mechanical Properties in Epoxy-Bamboo Laminate Composite with Varying Immersion Temperatures
  101. Enhancing Students’ Ability in Learning Process of Programming Language using Adaptive Learning Systems: A Literature Review
  102. Topical Issue on Mathematical Modelling in Applied Sciences, III
  103. An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network
  104. Hands-on Learning In STEM: Revisiting Educational Robotics as a Learning Style Precursor
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